TypeError: __init__() takes 1 positional argument but 3 were given

[chriswangky]

When I was training my model, I got an error .
Traceback is as follows:
**
File "/home/datasets/traffic_classification/ml/MCT.py", line 355, in init
self.fusion = Fusion_Block(n, d_model, self.n_layers_s1, self.n_layers_s2, self.n_heads, self.d_ff,
File "/home/datasets/traffic_classification/ml/MCT.py", line 313, in init
self.c2trans = CNN_to_Trans(n, d_model)
File "/usr/local/miniconda3/envs/deep_packet/lib/python3.8/site-packages/pytorch_lightning/core/lightning.py", line 92, in init
super().init(*args, **kwargs)
TypeError: init() takes 1 positional argument but 3 were given
**
Here is my code.

class CNN_to_Trans(LightningModule):
    def __int__(self, n, d_model):
        super().__init__() 
        self.pooling = nn.AdaptiveAvgPool1d(n)
        self.conv = nn.Conv1d(in_channels=n*d_model, out_channels=d_model, kernel_size=1,stride=1)
        self.norm = nn.LayerNorm(d_model)
        self.act_f = nn.ReLU()
    def forward(self, x):
        x = self.conv(x.transpose(1,2))
        x = self.pooling(x).transpose(1,2)
        x = self.norm(x)
        x = self.act_f(x)
        return x

class Fusion_Block(LightningModule):
    def __init__(self, n, d_model, n_layers_s1, n_layers_s2, n_heads, d_ff, kernel_size, stage1_med_dim, stage1_out_dim, stage2_out_dim):
        super(Fusion_Block, self).__init__()
        ... ...
        self.c2trans = CNN_to_Trans(n, d_model)
        ... ...

    def forward(...):
        ... ...

Thank you!

[i-aki-y]

@chriswangky Hi, is it a typo? __int__ --> __init__

[chriswangky]

Thank you! I am a fool.